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Data Analyst Final Project

Final project consists of the following subtasks (Click bellow)

Telecommunications: Identify inefficient operators

Business Type: Virtual Telephony Service

Description
Identify inefficient operators based on dropped calls and long wait times for incoming calls, and low number of outgoing calls; so that supervisors can make decisions regarding staff training and management to improve operational efficiency and customer satisfaction.

Process
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A/B Test: Implementation of Payment Recommendation System

Business Type: International Online Store

Description
To test changes related to the introduction of an improved recommendation system, observe the feasibility of implementing the new system, and its conversion of purchases within the next 14 days.

Process
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SQL: Querying book and reader data

Business Type: Digital Library Application Development Startup

Description
Connect to a database of books, publishers, authors, and customer ratings and book reviews to generate a value proposition for a new product (book purchase and digital reading application) based on descriptive statistics, trending authors, publishers, titles, and reviews.

Process
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🛠️Tools:

Python, Jupyter, Project IDX

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Open in IDX

⚙️Instructions:

  • Create a virtual environment
  • For local work: Install Python 3.11.8
  • For Cloud work: Set/enable the packages pkgs.python311, pkgs.python311Packages.pip in the .idx/dev.nix file.
  • Install requirements.txt

Note: This project was carried out within the Project IDX environment (by Google) based on Nix. A virtual environment was used to utilize Python version 3.11.8 supported by the environment and other libraries for data analysis. The requirements.txt file contains detailed dependencies used in the project to function in the IDX environment. The .idx/dev.nix file contains the package configuration to be used, which are: pkgs.python311, pkgs.python311Packages.pip.